Hi B. Sahoo To update spyder to 4.0 follow the below steps: You can easily install if you use Anaconda by running:
conda update qt pyqt conda install -c spyder-ide spyder=4.0.0rc1 Hope it helps you. Best ------ On Saturday, 21 December 2019 23:18:05 UTC+5:30, Bhanupratap Sahoo wrote: > > Sorry I cant understand.I'm a student and new to use spyder. > Can you tell me how can I update spyder 4 by Command Prompt or Anaconda > command prompt? > *Have a good day* > *Thank you* > > *Bhanupratap* > > > On Sat, Dec 21, 2019 at 10:57 PM Vivek Katakam <[email protected] > <javascript:>> wrote: > >> Hi All, >> >> I get getting the following message at the end of output after running my >> mnist dataset program in the Spyder IDE: >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> >> *Init signature:Dense( units, activation=None, use_bias=True, >> kernel_initializer='glorot_uniform', bias_initializer='zeros', >> kernel_regularizer=None, bias_regularizer=None, >> activity_regularizer=None, kernel_constraint=None, >> bias_constraint=None, **kwargs,)Docstring: Just your regular >> densely-connected NN layer.`Dense` implements the operation:`output = >> activation(dot(input, kernel) + bias)`where `activation` is the >> element-wise activation functionpassed as the `activation` argument, >> `kernel` is a weights matrixcreated by the layer, and `bias` is a bias >> vector created by the layer(only applicable if `use_bias` is `True`).Note: >> if the input to the layer has a rank greater than 2, thenit is flattened >> prior to the initial dot product with `kernel`.# Example```python # as >> first layer in a sequential model: model = Sequential() >> model.add(Dense(32, input_shape=(16,))) # now the model will take as >> input arrays of shape (*, 16) # and output arrays of shape (*, 32) # >> after the first layer, you don't need to specify # the size of the input >> anymore: model.add(Dense(32))```# Arguments units: Positive integer, >> dimensionality of the output space. activation: Activation function to >> use (see [activations](../activations.md)). If you don't >> specify anything, no activation is applied (ie. "linear" activation: >> `a(x) = x`). use_bias: Boolean, whether the layer uses a bias vector. >> kernel_initializer: Initializer for the `kernel` weights matrix (see >> [initializers](../initializers.md)). bias_initializer: Initializer for >> the bias vector (see [initializers](../initializers.md)). >> kernel_regularizer: Regularizer function applied to the `kernel` >> weights matrix (see [regularizer](../regularizers.md)). >> bias_regularizer: Regularizer function applied to the bias vector >> (see [regularizer](../regularizers.md)). activity_regularizer: >> Regularizer function applied to the output of the layer (its >> "activation"). (see [regularizer](../regularizers.md)). >> kernel_constraint: Constraint function applied to the `kernel` >> weights matrix (see [constraints](../constraints.md)). >> bias_constraint: Constraint function applied to the bias vector (see >> [constraints](../constraints.md)).# Input shape nD tensor with shape: >> `(batch_size, ..., input_dim)`. The most common situation would be a >> 2D input with shape `(batch_size, input_dim)`.# Output shape nD tensor >> with shape: `(batch_size, ..., units)`. For instance, for a 2D input >> with shape `(batch_size, input_dim)`, the output would have shape >> `(batch_size, units)`.File: >> c:\programdata\anaconda3\lib\site-packages\keras\layers\core.pyType: >> >> typeSubclasses: * >> >> I did not choose any help topic. even though the above help message is >> comming at the end of output. >> Is this an error in the code or something to do with settings. >> >> Thanks and Regards, >> Vivek >> >> -- >> You received this message because you are subscribed to the Google Groups >> "spyder" group. >> To unsubscribe from this group and stop receiving emails from it, send an >> email to [email protected] <javascript:>. >> To view this discussion on the web visit >> https://groups.google.com/d/msgid/spyderlib/8840f0f7-7145-44ea-8566-56b27645f2cf%40googlegroups.com >> >> <https://groups.google.com/d/msgid/spyderlib/8840f0f7-7145-44ea-8566-56b27645f2cf%40googlegroups.com?utm_medium=email&utm_source=footer> >> . >> > -- You received this message because you are subscribed to the Google Groups "spyder" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/spyderlib/32fec7d6-c933-4d5d-8429-a3dfe5ed2350%40googlegroups.com.
